Parchment’s Guiding Principles for Data Analysis

Parchment’s Guiding Principles for Data Analysis

Parchment offers a series of college admissions tools through that help learners manage their college list-building, aids in match-making, and further empower learners by helping them better understand their chances of admission. Learners engaging with these tools voluntarily share various data elements with Parchment including their GPA, SAT, or ACT score, and admissions outcomes to name a few. In order to bring insights to the admissions process, Parchment uses these learner-shared data, in aggregate, to provide analyses such as a user’s statistical odds of acceptance to a particular university.

From time to time, Parchment receives requests from institutions and media outlets to run and share analyses using aggregated (and non-personally identifiable) student-reported data to help inform a specific story about the admissions process. In each instance, we run the request against the Parchment mission as a litmus test; a mission to help learners turn their credentials into opportunities. In order for Parchment to conduct and share analyses, we are guided by the following principles:

  • The analysis is based on data provided to Parchment directly from learners, consistent with our privacy policy, and not from transcripts exchanged through our service.
  • The analysis is based on data from the ordinary use of the service and does not involve altering or manipulating user experiences in order to generate data.
  • The analysis provides insight at the aggregate level, protecting the identity of individual learners and institutions.
  • The analysis provides actionable insights that are helpful to learners rather than insights into questions that may be important (e.g. policy) but are not actionable by learners.

As a trusted resource for both learners and institutions, we take great responsibility in the stewardship of the data entrusted to us.  We are grateful to help learners individually through our service and in aggregate through the analysis we help to make possible.

We thank you for trusting us.

Sign In


Let us help you find what you are looking for.